No more typing reviews! Try our Samantha, our new voice AI agent.

CAST AI vs CoreStack comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.3
CAST AI users saw up to 30% cost reduction and boosted efficiency, enabling faster decision-making and better resource management.
Sentiment score
5.9
CoreStack optimizes cloud costs and enhances user satisfaction, delivering substantial financial benefits and retaining key clients.
I have seen a return on investment, and the ROI was visible within a few months through cloud cost reduction alone.
DevOps Engineer at Veefin Solutions
The ROI was visible within a few months through cloud cost reduction alone.
Observability Engineer at a tech services company with 11-50 employees
CAST AI has reduced approximately 40% of our AWS bills and AWS cloud bills.
Sr.Devops engineer at Scaler
With 20 reports every month, that's 80 hours saved, equating to two man-weeks per month, or $8,000 in savings based on a $100 hourly rate for my architect.
Senior Vice President at a tech services company with 10,001+ employees
We suggested they proceed with CoreStack, and after onboarding it to our offering, within three months, we received positive feedback from customers that we were able to reduce some of their costs.
Senior Solution Architect at Hitachi Systems India Private Ltd
It generates value addition on top of the Trusted Advisor report, which saves major effort for our resources.
Associate Vice President at Hitachi Systems India Private Limited
 

Customer Service

Sentiment score
8.0
CAST AI's customer service is praised for responsiveness, technical expertise, and effective support, with solid governance and security controls.
Sentiment score
6.7
CoreStack is highly praised for exceptional customer support, saving time and money, with top ratings from satisfied users.
I would rate the customer support 10 out of 10.
DevOps Engineer at Veefin
The governance and security of CAST AI are solid, providing sufficient visibility into cluster changes and optimization actions.
DevOps Engineer at Veefin Solutions Ltd.
Response times are reasonable and the team is knowledgeable.
DevOps Engineer at Veefin Solutions
CoreStack has positively impacted my organization by saving hours of time for reporting—for example, the governance report which my employees used to take at least four hours for one customer.
Senior Vice President at a tech services company with 10,001+ employees
I have interacted with CoreStack's customer support, and we managed to obtain a technical demo from their team for my team from time to time.
Associate Vice President at Hitachi Systems India Private Limited
 

Scalability Issues

Sentiment score
7.3
CAST AI efficiently scales Kubernetes environments automatically, ensuring stability and performance without user intervention during growth in complexity.
Sentiment score
7.5
CoreStack excels in scaling SaaS environments, offering seamless multi-cloud management, governance, and scalability without impacting user operations.
It is a SaaS platform that will scale automatically.
DevOps Engineer at Veefin
CAST AI's scalability is very good; it scales effectively with cluster growth and increasing workload complexity.
DevOps Engineer at Veefin Solutions
It scales effectively with cluster growth and increasing workload complexity.
Observability Engineer at a tech services company with 11-50 employees
It generates and captures metrics of your workload, which meets our requirements all the time.
Associate Vice President at Hitachi Systems India Private Limited
We haven't encountered any issues regarding scalability; the SaaS platform easily accommodates our growth.
Senior Vice President at a tech services company with 10,001+ employees
 

Stability Issues

Sentiment score
8.9
CAST AI is reliable and stable, performing well in Kubernetes environments with practical optimization and consistent production performance.
Sentiment score
8.0
CoreStack ensures stability and compliance across environments, supporting CIS and NIST standards, with intuitive reporting for audits.
In most cases, the optimization suggestions are practical and effective.
DevOps Engineer at Veefin Solutions Ltd.
CAST AI has proven to be stable and reliable in production environments.
DevOps Engineer at Veefin Solutions
 

Room For Improvement

CAST AI requires better docs, UI improvements, reporting, customization, integrations, cost insights, forecasting, and workload analytics, with pricing considerations.
CoreStack needs improvements in cost allocation, security, UI responsiveness, and AWS reporting, with better integration and governance.
There are many pros here, including easy onboarding, simple deployment, and excellent Kubernetes visibility, strong spot instance automation, and automated right-sizing.
Sr.Devops engineer at Scaler
More detailed documentation and deeper visibility into certain optimization decisions would also be helpful.
DevOps Engineer at Veefin
To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies.
DevOps Engineer at Veefin Solutions Ltd.
The recommendations made in CoreStack to delete a machine have the potential to generate major cost savings.
Associate Vice President at Hitachi Systems India Private Limited
We need more security features, particularly since the market is increasingly demanding better security tools for cloud management platforms, including cloud security posture assessments.
Senior Vice President at a tech services company with 10,001+ employees
Adding features to automate tasks at the operations level could help provide better visibility across the cloud for our operational engineers.
Senior Solution Architect at Hitachi Systems India Private Ltd
 

Setup Cost

CAST AI receives positive feedback for competitive, usage-based pricing and efficient onboarding, beneficial for larger Kubernetes environments.
In terms of pricing, I believe the pricing is reasonable because of the amount of savings and operational efficiency it delivers, making it easier to justify the investment.
DevOps Engineer at Veefin
I have not found the price to be too high for the features it provides.
Cloud Architect at a tech vendor with 10,001+ employees
Pricing was reasonable considering the cost savings achieved
DevOps Engineer at Veefin Solutions
My experience with pricing, setup cost, and licensing is that it is straightforward and has flexible pricing based on workload consumption.
Associate Vice President at Hitachi Systems India Private Limited
I believe has been competitively priced across the market.
Senior Vice President at a tech services company with 10,001+ employees
 

Valuable Features

CAST AI optimizes Kubernetes, automates provisioning, and enhances efficiency with intelligent scaling and cost recommendations for better resource management.
CoreStack enhances multi-cloud cost efficiency, visibility, compliance, and governance, improving operations, customer satisfaction, and resource savings.
CAST AI has had a positive impact on my organization through cost reduction. On average, I think the savings are between 15 and 20 percent, and for certain workloads, these savings can be even higher.
Cloud Architect at a tech vendor with 10,001+ employees
CAST AI has positively impacted our organization by reducing cloud costs, improving resource utilization, and allowing our engineering team to spend less time managing infrastructure and more time on platform improvements.
DevOps Engineer at Veefin Solutions
With CAST AI, nodes are added or removed automatically as workloads change, helping us maintain application performance while reducing unnecessary cloud costs.
Observability Engineer at a tech services company with 11-50 employees
The single pane of glass for multi-cloud cost optimization helps me day-to-day by bringing a lot of operational excellence; it saves a lot of time because rather than going to each and every account or multi-cloud portal, which takes a lot of time, having everything on a single pane of glass increases efficiency, delivers results in less time, and provides clear reporting that can be shared with the customer in PDF or CSV formats.
Senior Vice President at a tech services company with 10,001+ employees
The best features CoreStack offers are primarily the recommendations for cost optimization for RDS and EC2 machines.
Associate Vice President at Hitachi Systems India Private Limited
For example, from AWS, it provides visibility on EBS volumes that are not being used, and it gives recommendations to delete them and save some cost.
Senior Solution Architect at Hitachi Systems India Private Ltd
 

Categories and Ranking

CAST AI
Ranking in Cloud Cost Management
19th
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
8
Ranking in other categories
No ranking in other categories
CoreStack
Ranking in Cloud Cost Management
23rd
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2026, in the Cloud Cost Management category, the mindshare of CAST AI is 1.6%, down from 1.9% compared to the previous year. The mindshare of CoreStack is 1.3%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
CAST AI1.6%
CoreStack1.3%
Other97.1%
Cloud Cost Management
 

Featured Reviews

DeepakReddy - PeerSpot reviewer
Sr.Devops engineer at Scaler
Automated cost controls have cut cloud waste and free our team to focus on new projects
CAST AI can be improved in that automation policies require careful tuning. Sometimes it can be confusing for non-technical people or managers who are not familiar with technical details. However, it is good for technical people who are already into DevOps or cloud engineering. Spot strategies may need adjustment for sensitive workloads. The reporting and UI part can be somewhat better. Technical support can also be improved. Documentation is somewhat unclear sometimes, but not everywhere. There are many pros here, including easy onboarding, simple deployment, and excellent Kubernetes visibility, strong spot instance automation, and automated right-sizing. These features are very good for our organization because they reduce a lot of cost and reduce a lot of manual effort. However, some things can be improved, such as automation policies that require careful tuning and may need somewhat more help. Spot strategies can be improved, and some UI and documentation can also be improved.
Manmohan Rao - PeerSpot reviewer
Associate Vice President at Hitachi Systems India Private Limited
Cost reports have driven accurate AWS workload optimization and continue to guide savings
I can suggest improvements for CoreStack, especially regarding reporting periods. I noticed that some of the cost optimization reports generated potential savings while considering systems that have only maximum utilization of 1% or 2%. The recommendations made in CoreStack to delete a machine have the potential to generate major cost savings, but such machines should not be listed for deletion if they have maximum CPU utilization of 1%. I have concerns about needed improvements primarily regarding AWS. If a customer is running ten virtual machines and one machine has a maximum of 1% utilization, it is considered as an idle instance in the report, which completely ignores that particular machine. This should not be the approach.
report
Use our free recommendation engine to learn which Cloud Cost Management solutions are best for your needs.
902,988 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Energy/Utilities Company
15%
Financial Services Firm
12%
Educational Organization
11%
Media Company
9%
Media Company
17%
Construction Company
13%
Manufacturing Company
10%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise1
Large Enterprise2
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for CAST AI?
In terms of pricing, I believe the pricing is reasonable because of the amount of savings and operational efficiency it delivers, making it easier to justify the investment. Organizations with larg...
What needs improvement with CAST AI?
The limitations of CAST AI include reporting and customization options. I think they can improve in these areas, especially when some advanced settings require a learning curve, particularly for te...
What is your primary use case for CAST AI?
Our main use case for CAST AI is Kubernetes cost optimization, automated node provisioning, and improving cluster efficiency. I can provide a specific example of how we use CAST AI for Kubernetes c...
What is your experience regarding pricing and costs for CoreStack?
My experience with pricing, setup cost, and licensing is pretty good because we received private pricing, which I cannot disclose. The setup was included as a one-time expense, and licensing is str...
What needs improvement with CoreStack?
At this time, we are exploring other options from CoreStack, but I do not think any specific improvements are needed. However, adding features to automate tasks at the operations level could help p...
What is your primary use case for CoreStack?
My main use case for CoreStack is cloud cost governance and FinOps maturity. We are using CoreStack for our operations team and we have multiple cloud customers from different hyperscalers. For a s...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
CAMS
Find out what your peers are saying about CAST AI vs. CoreStack and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.